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DBMS > Google Cloud Firestore vs. KeyDB vs. Microsoft Azure SQL Database vs. SiteWhere

System Properties Comparison Google Cloud Firestore vs. KeyDB vs. Microsoft Azure SQL Database vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDatabase as a Service offering with high compatibility to Microsoft SQL ServerM2M integration platform for persisting/querying time series data
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­sitewhere/­sitewhere
Technical documentationfirebase.google.com/­docs/­firestoredocs.keydb.devdocs.microsoft.com/­en-us/­azure/­azure-sqlsitewhere1.sitewhere.io/­index.html
DeveloperGoogleEQ Alpha Technology Ltd.MicrosoftSiteWhere
Initial release2017201920102010
Current releaseV12
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedLinuxhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsLuaTransact SQL
Triggersyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yes, with always 3 replicas availableselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.simple password-based access control and ACLfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Google Cloud FirestoreKeyDBMicrosoft Azure SQL Database infoformerly SQL AzureSiteWhere
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